A world-renowned Healthcare System is seeking a Bioinformatics Engineer to perform next-generation sequencing data processing, analysis, and pipeline framework design in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics, and clinical research. The team develops data analysis pipelines and analytic platforms on both local high performance computing clusters and cloud-based resources to facilitate research activities and precision health initiatives. You will contribute toward the evolution of the current infrastructure design that leverage Nextflow and nf-core and a container-based systems approach that enable compute portability and reproducibility.
5-7 years of experience as a Bioinformatics Engineer
Bachelor's or master's degree in bioinformatics, Computational Biology or Computer Science
Proven experience in developing and optimizing bioinformatics workflows for NGS data analysis.
Experience with Dockers and Containers
Strong proficiency in programming languages such as Python and R, with experience in developing bioinformatics applications and scripts.
Familiarity with workflow management systems, particularly Nextflow, and the ability to design and execute workflows using this platform.
Hands-on expertise running bioinformatics pipelines on genomics data on-prem (LSF/SLURM) or in cloud (AWS/AZURE
Solid understanding of genomics, genetics, and molecular biology concepts.
Experience with analyzing and interpreting NGS data, including genomic variant calling, differential gene expression analysis, and pathway analysis.
Proficiency in working with popular bioinformatics tools and libraries.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.